钢铁企业煤气调度与粉尘减排的不确定优化模型研究

发布时间：2017-12-27 10:01

本文关键词：钢铁企业煤气调度与粉尘减排的不确定优化模型研究　出处：《北京科技大学》2017年博士论文　论文类型：学位论文

【摘要】：随着钢铁工业的爆发式增长,其作为高消耗、高污染的工业"大户",能源的消耗与污染排放明显增加,能源与生产的供求矛盾日益突出。为此,如何实现钢铁工业的节能、降耗和减排,已经成为了迫在眉睫、亟需解决的重要问题。为了实现钢铁工业的节能、降耗和减排,并且克服确定性优化方法在处理钢铁企业副产煤气优化分配问题和大气污染控制问题时存在的假设和简化过多、参数估计偏差较大、模型结构不合理和计算结果不准确等问题,本文基于不确定性优化方法理论对钢铁企业的煤气优化调度方案和粉尘减排控制策略的设计和实施展开相关的理论和实践研究。钢铁企业的煤气调度和粉尘减排控制系统的组成要素、结构和框架、以及系统运转模式的准确识别和表征,是建立副产煤气优化调度模型和粉尘减排控制管理模型的重要基础。本文分别以煤气系统的收益最大化和粉尘减排控制成本最小化为主要的系统目标,综合考虑包括储气柜容量、用户需求、经济成本、污染源排放标准和区域环境质量标准等在内的系统约束和逻辑关系,构建包括产气设备、用户、储气柜、煤气发电系统等组成要素在内的钢铁企业副产煤气优化调度系统,以及包括企业排放源、气象站、环境监测站、居民区和污染源削减技术等不同类型要素在内的粉尘减排控制管理系统,为后面优化模型的建立和决策方案的生成奠定了很好的基础。副产煤气属于宝贵的二次能源,煤气系统的节能是钢铁企业节能的主要部分。为了克服煤气的生产、运输、分配和利用方面的数据统计和处理工作存在的困难、消除企业生产计划的制定、生产工艺的运转情况和调度人员的主观意愿等多个因素对煤气分配系统的影响和避免传统的确定性优化模型与现实情况差距较大,模型的求解结果存在很大的偏差,生成的煤气分配方案无法为调度工作人员提供有效的支持等情况,本文采用包括区间数、type-1模糊数、type-2模糊数和双重随机变量等在内的多种类型的不确定性优化方法,构建两套反映不确定性条件下的副产煤气优化分配模型,运用模糊机会约束规划方法、随机机会约束规划方法和两阶段的区间交互作用解法等多个求解方法对模型进行求解,制定了储气柜和发电设备的最佳运行方案,确定了煤气在系统中各个组成要素的最佳分配量,为企业节能方案的设计和实施提供了很好的决策帮助。钢铁企业周边的环境污染问题,特别是钢铁企业排放的粉尘污染问题,已经严重影响到了当地居民的正常生活,如何有效地解决钢铁企业的粉尘污染问题已经成为影响钢铁企业生死存亡的关键问题。本文以唐山市丰润区大气污染防治方案设计和规划为例,以当地的主要污染源钢铁企业为研究对象,分别运用区间随机鲁棒优化方法和模糊分式规划方法,针对污染控制成本、污染源排放标准和区域环境质量标准等系统要素表现出来的不确定性特征,将其分别表征为区间、随机和模糊在内的多种类型的不确定性变量,构建了两套不确定性条件下的区域粉尘减排控制优化模型,完成了区域粉尘减排扩散模拟条件下的污染控制措施的优化设计,确定了钢铁企业内部主要污染源的最佳处理方案,为该地区大气环境管理及地区规划、污染源削减方案的设计提供了很好的决策支持,提高了大气管理方案的适应度与鲁棒性,提升了环境管理的实际效果与绩效水平。
[Abstract]:With the explosive growth of iron and steel industry, its energy consumption and pollution emissions have increased significantly as a "big household" with high consumption and high pollution. The contradiction between supply and demand of energy and production is increasingly prominent. Therefore, how to realize the energy saving, consumption reduction and emission reduction of the iron and steel industry has become an urgent and urgent problem to be solved. In order to realize the iron and steel industry, energy-saving and emission reduction, and overcome the deterministic optimization method in treatment of iron and steel industry by-product gas distribution optimization problems and problems of air pollution control, too many simplifying assumptions and parameter estimation deviation, model structure unreasonable and the calculation result is not accurate, the uncertain optimization theory the iron and steel enterprises gas scheduling scheme and dust emission control strategies and design research and practice based on the relevant. The constituent elements, structure and framework of the gas control and dust reduction control system in iron and steel enterprises and the accurate identification and characterization of the operation mode of the system are the important foundation for establishing the optimal scheduling model of the by-product gas and the emission reduction control management model. In this paper, the gas system of revenue maximization and cost minimization for the dust emission control system target, system constraints and logical relations including gas storage capacity, user demand, economic cost, pollution emission standards and regional environmental quality standards, considering the construction of optimal dispatching system of byproduct gas consists of gas production the user equipment, and storage cabinets, gas power generation systems such as iron and steel enterprises, including enterprises, emission source, meteorological station, residential area and pollution reduction technology of environmental monitoring station, such as different types of dust emission reduction to prime, control and management system, the generation of optimal model and decision for the foundation good. The by-product gas is a valuable two energy, and the energy saving of the gas system is the main part of the energy saving of the iron and steel enterprises. In order to overcome the gas production, transportation, distribution and utilization of statistical data and processing difficulties, eliminate the production plan, the production process of the operation and dispatch personnel's subjective will and other factors on the gas distribution system and avoid the influence of the traditional deterministic optimization model and the reality gap, the solution results there are deviations in gas distribution plan generation to dispatch staff to provide effective support and so on, this paper adopts the uncertainty optimization methods include interval number, fuzzy number, fuzzy number type-1 type-2 and double random variables, the optimal allocation model of byproduct gas construction of two sets of reflection under conditions of uncertainty, interval fuzzy chance constrained programming method, stochastic chance constrained programming method and two stages of interaction The solution of the model is solved by multiple solutions such as solution and so on, and the best operation plan of the gas storage and power generation equipment is worked out. The optimal allocation of each constituent element of the gas in the system is determined, which provides a good decision for the design and implementation of the energy saving plan of the enterprise. The problem of environmental pollution around the iron and steel enterprises, especially the problem of dust pollution emissions from iron and steel enterprises, has seriously affected the normal life of local residents, how to effectively solve the problem of dust pollution in iron and steel enterprises has become a key problem of vital importance in iron and steel enterprises. The air pollution control program design and planning in Fengrun District of Tangshan City as an example, the main pollution source of the local iron and steel enterprises as the research object, using interval stochastic robust optimization method and fuzzy fractional programming method to solve the uncertainty characteristics, pollution control cost, pollution emission standards and regional environmental quality standard system elements displayed, the various types of uncertainty variables were characterized as interval, random and fuzzy, constructs the optimization model of regional dust emission reduction of two sets under uncertainty control, completed area of dust emission reduction diffusion optimization design of pollution control measures under the simulated conditions, the optimum processing scheme of the main pollution source of iron and steel enterprises that provides a good decision support for the planning, design scheme to reduce the pollution of the atmospheric environment and management area,. The adaptability and robustness of the air management scheme have been improved, and the actual effect and performance level of environmental management are improved.
【学位授予单位】：北京科技大学
【学位级别】：博士
【学位授予年份】：2017
【分类号】：TF083;X757

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